Protocol at the Martian Embassy
Navigate formal greetings, urgent requests, and diplomatic briefings. The same scene flexes from beginner basics to nuanced negotiations.
Most language apps are drills with no soul. Language on Mars gives you real depth—branching lessons, adaptive reviews, and characters who remember how you speak—wrapped inside an RPG you actually want to play.
Why Language on Mars
Let's face it: most language programs are either boring and overly regimented, built around random dialogues you forget instantly, or painfully limited in what they actually teach. Language on Mars tackles both problems.
You get the depth of a serious curriculum—spaced retrieval, speech feedback, branching scenarios—delivered through a retrofuturistic role-playing game. Explore Mars, build relationships, and let the system surface exactly what you need to review when you need it.
Story Worlds
Navigate formal greetings, urgent requests, and diplomatic briefings. The same scene flexes from beginner basics to nuanced negotiations.
Order, improvise, and build rapport with Carmen. Choose a friendly or professional lane and watch the relationship shift as your Spanish improves.
Handle logistics with José, track inventory in real time, and decode slang that only surfaces after midnight on Mars.
Postcards From Mars
How The System Adapts
The lesson engine watches every prompt. Miss me parece que? Carmen folds a micro-review into the next scene instead of waiting until next week.
Every character, object, and idiom sits in a single lexicon. That means cloze drills, dialogues, and video captions stay aligned—no duplicate vocab lists.
You can grind drills in the sim bay, but you never have to. The world always offers another branch, another scene, another way to use what you just learned.
Roadmap
Phase 1 – Prototype: Lesson 01 audio + branching choices, three playable arcs, adaptive playlist MVP.
Phase 2 – Track Launch: Full "El Forastero" storyline with video intros, consequence reels, and data-backed spacing.
Phase 3 – Memory Layers: Relationship-aware reviews, learner-added vocabulary, speech-driven micro-loops.
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